--- title: ASUS Ascent GX10をセットアップするメモ summary: この記事は、ASUS Ascent GX10のセットアップ手順をSSHキー登録からDocker、PyTorch、llama.cppサーバ構築まで詳しくまとめたメモです。 tags: ["DGX Spark", "ASUS Ascent GX10", "CUDA", "NVIDIA", "llama.cpp", "Ubuntu", "PyTorch"] categories: ["HomeLab", "DGXSpark"] date: 2026-01-12T09:00:45Z updated: 2026-01-12T09:00:45Z --- [ASUS Ascent GX10](https://www.asus.com/jp/networking-iot-servers/desktop-ai-supercomputer/ultra-small-ai-supercomputers/asus-ascent-gx10/)を購入したので、セットアップメモ。 随時更新。 ### SSH Keyの登録 ```bash ssh-import-id-gh making ``` ### fastfetchのインストール ```bash sudo add-apt-repository ppa:zhangsongcui3371/fastfetch -y sudo apt update sudo apt install fastfetch -y ``` ![image](https://s3.ik.am/ikam/_/1769080030942_pasted-image.png) ### GPUの確認 ```bash $ nvidia-smi Thu Jan 8 15:06:52 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.95.05 Driver Version: 580.95.05 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GB10 On | 0000000F:01:00.0 Off | N/A | | N/A 41C P8 3W / N/A | Not Supported | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 2472 G /usr/lib/xorg/Xorg 126MiB | | 0 N/A N/A 2795 G /usr/bin/gnome-shell 17MiB | +-----------------------------------------------------------------------------------------+ ``` ### static ipの設定 ```bash $ nmcli device DEVICE TYPE STATE CONNECTION enP7s7 ethernet connected Wired connection 3 lo loopback connected (externally) lo docker0 bridge connected (externally) docker0 wlP9s9 wifi disconnected -- p2p-dev-wlP9s9 wifi-p2p disconnected -- enP2p1s0f0np0 ethernet unavailable -- enP2p1s0f1np1 ethernet unavailable -- enp1s0f0np0 ethernet unavailable -- enp1s0f1np1 ethernet unavailable -- ``` ```bash nmcli con show "Wired connection 3" sudo nmcli con mod "Wired connection 3" ipv4.method manual ipv4.addresses "192.168.XX.YY/24" ipv4.gateway "192.168.XX.1" ipv4.dns "8.8.8.8,1.1.1.1" sudo reboot ``` 新しいIPでsshし直し。 ### Editorの変更 ```bash sudo update-alternatives --set editor /usr/bin/vim.basic ``` ### Sudoersの編集 ```bash sudo visudo ``` ```bash maki ALL=NOPASSWD: ALL ``` ### Dockerのセットアップ https://docs.nvidia.com/dgx/dgx-spark/nvidia-container-runtime-for-docker.html ```bash $ systemctl status docker × docker.service - Docker Application Container Engine Loaded: loaded (/usr/lib/systemd/system/docker.service; enabled; preset: enabled) Drop-In: /etc/systemd/system/docker.service.d └─docker-override.conf Active: failed (Result: exit-code) since Thu 2026-01-08 14:49:01 JST; 8min ago TriggeredBy: × docker.socket Docs: https://docs.docker.com Process: 3410 ExecStart=/usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock (code=exited, status=1/FAILURE) Main PID: 3410 (code=exited, status=1/FAILURE) CPU: 173ms Jan 08 14:49:01 gx10-c90e systemd[1]: docker.service: Scheduled restart job, restart counter is at 3. Jan 08 14:49:01 gx10-c90e systemd[1]: docker.service: Start request repeated too quickly. Jan 08 14:49:01 gx10-c90e systemd[1]: docker.service: Failed with result 'exit-code'. Jan 08 14:49:01 gx10-c90e systemd[1]: Failed to start docker.service - Docker Application Container Engine. ``` `sudo journalctl -u docker -f`でログを見ると、 `error initializing buildkit: error creating buildkit instance: invalid database`と出ている。 ```bash sudo systemctl stop docker sudo rm -rf /var/lib/docker/buildkit sudo systemctl start docker ``` ```bash $ sudo systemctl status docker.service ● docker.service - Docker Application Container Engine Loaded: loaded (/usr/lib/systemd/system/docker.service; enabled; preset: enabled) Drop-In: /etc/systemd/system/docker.service.d └─docker-override.conf Active: active (running) since Thu 2026-01-08 14:59:17 JST; 1min 59s ago TriggeredBy: ● docker.socket Docs: https://docs.docker.com Main PID: 4791 (dockerd) Tasks: 16 Memory: 23.5M (peak: 27.4M) CPU: 244ms CGroup: /system.slice/docker.service └─4791 /usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock Jan 08 14:59:16 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:16.820238814+09:00" level=info msg="Creating a containerd client" address=/run/containerd/containerd.sock timeout=1m0s Jan 08 14:59:16 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:16.824241602+09:00" level=info msg="[graphdriver] using prior storage driver: overlay2" Jan 08 14:59:16 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:16.824325300+09:00" level=info msg="Loading containers: start." Jan 08 14:59:17 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:17.548295346+09:00" level=info msg="Loading containers: done." Jan 08 14:59:17 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:17.554835457+09:00" level=info msg="Docker daemon" commit=f8215cc containerd-snapshotter=false storage-driver=overlay2 version=28.5.1 Jan 08 14:59:17 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:17.554865506+09:00" level=info msg="Initializing buildkit" Jan 08 14:59:17 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:17.564906700+09:00" level=info msg="Completed buildkit initialization" Jan 08 14:59:17 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:17.569796879+09:00" level=info msg="Daemon has completed initialization" Jan 08 14:59:17 gx10-c90e dockerd[4791]: time="2026-01-08T14:59:17.569838128+09:00" level=info msg="API listen on /run/docker.sock" Jan 08 14:59:17 gx10-c90e systemd[1]: Started docker.service - Docker Application Container Engine. ``` ```bash $ docker ps permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.51/containers/json": dial unix /var/run/docker.sock: connect: permission denied ``` ```bash sudo usermod -aG docker $USER newgrp docker ``` ```bash $ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES ``` ### PyTorchコンテナの起動 ```bash docker run --gpus all --ulimit memlock=-1 -it --ulimit stack=67108864 --entrypoint /usr/bin/bash --rm nvcr.io/nvidia/pytorch:25.11-py3 ``` ```bash $ python -c "import torch; print(f'PyTorch version: {torch.__version__}'); print(f'CUDA available: {torch.cuda.is_available()}')" PyTorch version: 2.10.0a0+b558c986e8.nv25.11 CUDA available: True ``` ### NVIDIA Sync https://build.nvidia.com/spark/connect-to-your-spark/sync ![image](https://s3.ik.am/ikam/_/1769080050750_pasted-image.png) "Update Available"になっているので"Update Now"をクリックして更新する。 ### llma.cpp https://build.nvidia.com/spark/nemotron/instructions ```bash cd .. git clone https://github.com/ggml-org/llama.cpp cd llama.cpp ``` ```bash sudo apt update sudo apt install libcurl4-openssl-dev libssl-dev -y rm -rf build mkdir -p build cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES="121" -DBUILD_SHARED_LIBS=OFF cmake --build build --config Release -j 20 --clean-first ``` ```bash $ ./build/bin/llama-server --version version: 9159 (5c0e94683) built with GNU 13.3.0 for Linux aarch64 ``` ```bash echo "/exit" | ./build/bin/llama-cli -hf unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q4_K_XL echo "/exit" | ./build/bin/llama-cli -hf unsloth/Qwen3.6-35B-A3B-MTP-GGUF:UD-Q4_K_XL echo "/exit" | ./build/bin/llama-cli -hf unsloth/Qwen3.6-27B-MTP-GGUF:UD-Q4_K_XL --spec-type draft-mtp --spec-draft-n-max 2 echo "/exit" | ./build/bin/llama-cli -hf gpustack/bge-m3-GGUF ``` ```bash ./build/bin/llama-server --host 0.0.0.0 --port 8000 ``` ```bash cat < /dev/null [Unit] Description=llama server After=network.target [Service] User=$USER Group=$USER WorkingDirectory=$HOME/git/llama.cpp/build ExecStart=$HOME/git/llama.cpp/build/bin/llama-server \\ --host 0.0.0.0 \\ --port 8000 \\ --models-max 1 \\ --models-preset $HOME/llama.cpp/models.ini Restart=always RestartSec=5 LimitNOFILE=65535 [Install] WantedBy=multi-user.target EOF ``` ```bash mkdir -p $HOME/llama.cpp cat <<'EOF' > $HOME/llama.cpp/models.ini version = 1 ; See https://github.com/ggml-org/llama.cpp/tree/master/tools/server#model-presets [*] ctx-size = 0 [unsloth/gemma-4-26B-A4B-it-GGUF:Q4_K_XL] n-gpu-layers = 999 jinja = true temp = 1.0 top-p = 0.95 top-k = 64 reasoning = off [unsloth/Qwen3.6-35B-A3B-MTP-GGUF:Q4_K_XL] n-gpu-layers = 999 jinja = true temp = 0.7 top-p = 0.8 top-k = 20 min-p = 0.00 spec-type = draft-mtp spec-draft-n-max = 3 reasoning = off [unsloth/Qwen3.6-27B-MTP-GGUF:Q4_K_XL] n-gpu-layers = 999 jinja = true temp = 0.7 top-p = 0.8 top-k = 20 min-p = 0.00 spec-type = draft-mtp spec-draft-n-max = 3 reasoning = off [gpustack/bge-m3-GGUF] embeddings = true EOF ``` ```bash sudo systemctl daemon-reload sudo systemctl enable llama-server sudo systemctl start llama-server sudo systemctl status llama-server ``` ```bash journalctl -u llama-server -f ``` ```bash curl -s http://localhost:8000/v1/chat/completions \ --json '{ "model": "unsloth/Qwen3.6-35B-A3B-MTP-GGUF:Q4_K_XL", "messages": [ {"role": "user", "content": "Give me a joke."} ] }' | jq . ``` Cloud Codeからアクセス ```bash ANTHROPIC_BASE_URL=http://:8000 claude --dangerously-skip-permissions --model unsloth/Qwen3.6-35B-A3B-MTP-GGUF:Q4_K_XL ``` ### AWS CLIのインストール ```bash sudo snap install aws-cli --classic ``` ### Node Exporterのインストール ```bash sudo apt install prometheus-node-exporter -y ``` ### NFS (Sysnology NAS) マウント ```bash sudo mkdir -p /mnt/nfs cat <